本文選題：顯性知識(shí) + 創(chuàng)新��； 參考：《哈爾濱工業(yè)大學(xué)》2015年碩士論文

【摘要】：在傳統(tǒng)的區(qū)域經(jīng)濟(jì)學(xué)理論中普遍認(rèn)同知識(shí)創(chuàng)新活動(dòng)對(duì)經(jīng)濟(jì)增長至關(guān)重要的作用,知識(shí)基礎(chǔ)對(duì)創(chuàng)新有著毋庸置疑的推動(dòng)作用。然而,以往大量研究區(qū)域經(jīng)濟(jì)增長機(jī)制的文獻(xiàn)中對(duì)于經(jīng)濟(jì)的空間因素往往采取回避態(tài)度,并不能全面考察知識(shí)、創(chuàng)新與經(jīng)濟(jì)增長的空間關(guān)系。此外,在傳統(tǒng)的觀念中,人們往往認(rèn)為知識(shí)稟賦優(yōu)勢(shì)的區(qū)域在創(chuàng)新強(qiáng)度上同樣具有優(yōu)勢(shì),進(jìn)而對(duì)于經(jīng)濟(jì)增長的貢獻(xiàn)同樣具有優(yōu)勢(shì)。鮮有文獻(xiàn)從這個(gè)角度來分析知識(shí)與創(chuàng)新在區(qū)域?qū)用鎸?duì)于經(jīng)濟(jì)增長的貢獻(xiàn)作用是否存在空間上的匹配。本研究即是在這樣的背景下開展具體的分析研究。首先從理論層面針對(duì)知識(shí)與創(chuàng)新的內(nèi)涵進(jìn)行界定,通過知識(shí)分解與創(chuàng)新來源分析、知識(shí)與創(chuàng)新的分離來分析顯性知識(shí)與創(chuàng)新的空間邏輯,從理論分析、邏輯演繹以及實(shí)證檢驗(yàn)多角度對(duì)顯性知識(shí)與創(chuàng)新的空間匹配關(guān)系進(jìn)行推理演繹并得到實(shí)際數(shù)據(jù)的驗(yàn)證。然后,科學(xué)合理的進(jìn)行變量選取、度量指標(biāo)的確立,將空間因素納入到模型框架思路中,構(gòu)建本研究的顯性知識(shí)、創(chuàng)新與區(qū)域經(jīng)濟(jì)增長模型。在此基礎(chǔ)上應(yīng)用空間計(jì)量經(jīng)濟(jì)學(xué)分析方法進(jìn)行實(shí)證分析與假設(shè)檢驗(yàn),探索空間層面下的顯性知識(shí)、創(chuàng)新與區(qū)域經(jīng)濟(jì)增長的關(guān)系。結(jié)果表明區(qū)域經(jīng)濟(jì)存在空間依賴,且區(qū)域顯性知識(shí)、創(chuàng)新、社會(huì)資本、外商直接投資以及政府干預(yù)均對(duì)區(qū)域經(jīng)濟(jì)增長有正向的貢獻(xiàn)作用。最后,應(yīng)用面板分位數(shù)回歸分析方法,設(shè)定不同的分位點(diǎn),通過比較不同分位點(diǎn)下顯性知識(shí)對(duì)于經(jīng)濟(jì)增長的貢獻(xiàn)彈性與創(chuàng)新對(duì)于經(jīng)濟(jì)增長貢獻(xiàn)彈性的值的分布情況,來考察源于顯性知識(shí)的經(jīng)濟(jì)增長與源于創(chuàng)新的經(jīng)濟(jì)增長的空間異質(zhì)性。研究還通過更緊密的分位數(shù)點(diǎn)設(shè)置來更加細(xì)致的考察顯性知識(shí)彈性與創(chuàng)新彈性曲線的走勢(shì)。通過比較二者彈性曲線的走勢(shì)與分布來深入分析顯性知識(shí)與創(chuàng)新對(duì)于經(jīng)濟(jì)增長貢獻(xiàn)作用的空間異質(zhì)性,檢驗(yàn)創(chuàng)新對(duì)于經(jīng)濟(jì)增長的貢獻(xiàn)作用與區(qū)域經(jīng)濟(jì)發(fā)展水平的空間匹配關(guān)系。研究發(fā)現(xiàn),顯性知識(shí)與創(chuàng)新對(duì)于經(jīng)濟(jì)增長的貢獻(xiàn)作用確實(shí)存在顯著的空間異質(zhì)性,且在空間分布上知識(shí)彈性更加具有選擇性與集中性,而創(chuàng)新彈性則分布較為均勻,總體趨勢(shì)與知識(shí)彈性呈此起彼伏的態(tài)勢(shì),且在經(jīng)濟(jì)發(fā)展水平較低地區(qū)創(chuàng)新彈性會(huì)有更好的表現(xiàn)。據(jù)此,針對(duì)性提出相應(yīng)的知識(shí)創(chuàng)新管理與區(qū)域經(jīng)濟(jì)增長相關(guān)的政策建議,旨在更好地引導(dǎo)知識(shí)、創(chuàng)新以及區(qū)域經(jīng)濟(jì)的良性關(guān)系,更有效地助推區(qū)域經(jīng)濟(jì)增長。
[Abstract]:In the traditional theory of regional economics, it is generally accepted that knowledge innovation plays an important role in economic growth, and knowledge base plays an undisputable role in promoting innovation. However, a large number of literature on the mechanism of regional economic growth in the past often take an evasive attitude towards the spatial factors of economy, and can not comprehensively examine the spatial relationship between knowledge, innovation and economic growth. In addition, in the traditional concept, people often think that the region with the advantage of knowledge endowment has the same advantage in the innovation intensity, and thus the contribution to economic growth has the same advantage. From this point of view, few literatures have analyzed whether there is a spatial matching between the contribution of knowledge and innovation to economic growth at the regional level. This research is carried out under such a background of specific analysis and research. Firstly, it defines the connotation of knowledge and innovation from the theoretical level, analyzes the spatial logic of explicit knowledge and innovation through knowledge decomposition and innovation source analysis, and analyzes the spatial logic of explicit knowledge and innovation by means of knowledge decomposition and innovation source analysis. Logical deduction and empirical test are used to deduce the spatial matching relationship between dominant knowledge and innovation from different angles and the actual data are verified. Then, the scientific and reasonable selection of variables, the establishment of measurement indicators, the spatial factors into the framework of the model thinking, to build the explicit knowledge of this study, innovation and regional economic growth model. On this basis, the empirical analysis and hypothesis testing are carried out by using the spatial econometrics analysis method to explore the relationship between explicit knowledge, innovation and regional economic growth at the spatial level. The results show that regional economy has spatial dependence and regional dominant knowledge, innovation, social capital, foreign direct investment and government intervention all contribute positively to regional economic growth. Finally, by using panel quantile regression analysis, we set different loci, and compare the distribution of dominant knowledge contribution elasticity to economic growth and innovation contribution elasticity to economic growth by comparing the distribution of dominant knowledge and innovation contribution elasticity to economic growth. To examine the spatial heterogeneity between economic growth derived from explicit knowledge and economic growth from innovation. In addition, the trend of dominant knowledge elasticity and innovation elasticity curve is investigated more carefully by using tighter quantile setting. By comparing the trend and distribution of the elastic curves, the spatial heterogeneity of dominant knowledge and innovation to the contribution of economic growth is analyzed, and the spatial matching relationship between the contribution of innovation to economic growth and the level of regional economic development is tested. It is found that the contribution of dominant knowledge and innovation to economic growth does exist significant spatial heterogeneity, and the elasticity of knowledge is more selective and centralized in spatial distribution, while the elasticity of innovation is more uniform. The general trend and the knowledge elasticity are one after another, and the innovation elasticity will have better performance in the low level of economic development. On the basis of this, the paper puts forward the corresponding policy recommendations on knowledge innovation management and regional economic growth, aiming at guiding better the relationship between knowledge, innovation and regional economy, and promoting regional economic growth more effectively.
【學(xué)位授予單位】：哈爾濱工業(yè)大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2015
【分類號(hào)】：F124.3

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本文編號(hào)：1969912